AOS Data Co., Ltd.
AOS Data publishes food open data on data commerce DataMart.jp – Improving productivity in the food field with Data to AI(R) work techniques –
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AOS Data Co., Ltd. (Headquarters: Minato-ku, Tokyo; President: Nobuya Yoshida; hereinafter referred to as AOS Data Co., Ltd.), a company that utilizes corporate data and AI, is a company that utilizes corporate data and AI. Through diverse data such as market trends, food safety, and nutritional information, we contribute to data-driven approaches to problem solving to protect consumer food safety and ensure market transparency. We are pleased to announce that important food open data has been published on the AI learning data commerce platform “DataMart.jp” (https://datamart.jp/).
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■In today’s society where food data is on the rise, food safety and supply transparency have become important issues that are directly linked to consumer trust and the protection of public health. Open data is becoming increasingly important in the food sector, and attention is focused on how publishing data can support
decision-making for each stakeholder and drive innovation across the industry. We will explain the main factors behind why open data in the food sector has become important. 1. Ensuring food safety –
Transparency in food safety information is critical to protecting public health by quickly sharing recall information and food poisoning prevention information. 2. Promoting sustainable food supply – Utilizing agricultural production data promotes sustainable
agricultural technology and efficient resource use, contributing to a stable food supply. 3. Improving market transparency –
Public market data provides information for producers, consumers, and investors to make sound economic decisions. This has the effect of stabilizing prices and promoting fair trade. 4. Promoting innovation – The use of diverse data will stimulate the development of new business models and products, improving the competitiveness of the food industry. 5. Improving consumer awareness –
Transparent information about nutritional information and food origins increases health awareness and promotes higher quality diets.
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These factors make open data in the food sector an important tool towards creating a safer, more efficient and fairer food system. ■What is food data? The role of open data in the food industry is to ensure consumer safety and information transparency. This data provides a wide range of insights, including market trends, food safety, and nutritional information, making it a valuable resource for consumers, researchers, and policy makers. We will explain in detail the main areas covered by open data in the food sector and provide examples of data in each area. 1. Agricultural production data – Crop types and varieties – Harvest volume and cultivation area – Types of pesticides and fertilizers used – Harvest period and distribution routes – Agricultural machinery usage status 2. Food safety information – Recall information (cause, target products, – Food test results (microorganisms, chemical substances) – Hygiene management status (manufacturing process, storage conditions) – Certification
information (organic, non-GMO, etc.) – Expiration date and storage method 3. Nutritional data – Each food – Calorie and nutritional information table – Types and contents of food additives – Allergen information – Nutritional guide by food group – Information on foods for specified health uses (FOSHU) 4. Market price data – Retail prices of major foods – Wholesale market prices Transaction prices – Seasonal price fluctuations – Regional price differences – Price trends in international markets 5. Consumer behavior data – Purchase frequency and quantity – Food selection trends (health conscious, price conscious, etc.) – Consumers’ food preferences Attitude survey results – Comparison of online and offline purchases – Consumption
fluctuations due to seasons and events 6. Import/export data – Major export/import foods – Export/import partner countries – Export/import volume and value – Trade constraints (tariffs, non-tariff barriers) – Impact of international trade agreements 7. Food distribution data – Distribution channels (direct sales, wholesale, retail) – Logistics information (transportation means, delivery times) – Inventory status and volumes – Distribution costs – Distribution efficiency and optimization strategies 8. Food manufacturing Data – Manufacturer list – Production equipment and technology – Manufacturing process details – Production volumes and production efficiency – Manufacturer certifications and qualifications9. Food loss data – Food waste volumes and causes – Food recovery and recycling initiatives – Waste prevention – Management of expired food – Regional differences in food loss 10. Expiration date information – Criteria for setting
best-before and use-by dates – Laws and regulations regarding expiry dates – Progress in expiration date extension technology – Consumer awareness of expiration dates – Expired foods 11. Food policy data – Food-related laws and regulations – Government food safety measures – Public health and food safety campaigns – Government nutrition guidance policies – Details of food aid programs 12. Biodiversity data – Species diversity – Impact on biodiversity and food production – Utilization status of endemic species by region – Relationship between ecosystem conservation and food production – Approaches to species conservation and sustainability – Impact assessment on biodiversity loss 13. Food technology data – Advances in food processing technology – Utilization of biotechnology – Latest trends in food preservation technology – Innovations in food testing technology – Introduction of smart agriculture technology 14. Food hygiene training data – Hygiene education for food handlers – Details of hygiene training programs – Compliance with international food hygiene standards – Evaluation of the effectiveness of hygiene training – Best practices for hygiene management 15. Food-related health data – Statistics on the health effects of food – Data on nutritional deficiencies and overconsumption – Occurrence of food-related diseases – Consumption trends of health-promoting foods – Relationship between dietary habits and healthy life expectancy 16. Environmental impact data – Environmental burden of food production – Popularization of sustainable production methods – Impact of food industry on water resources – Environmental impact of pesticides and fertilizers – Food waste processing and recycling
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These data areas play a critical role in understanding and improving sustainability, safety, and innovation in the food industry. The use of open data is expected to create a more transparent and reliable food system. ■From sharing and utilizing data to promoting DX where it is bought and sold as an asset AOS Data has the catchphrase “Data to AI(R)” and provides one-stop data services for AI and data-driven management in the AI/DX era. It is expanding. Specifically,
“aipapyrus.com” is a platform that digitizes analog information such as paper, “aosidx.jp” is a platform that safely shares and accumulates data within companies, and “data119″ is a data recovery center that recovers lost data. We operate and provide a variety of one-stop solutions for managing the entire data lifecycle, including
“aidata.jp”, an AI data processing center (data annotation service) for data utilization, and “aidata.jp”. doing. “DataMart.jp” is a data trading marketplace between companies that is positioned next to the data lifecycle of data conversion, data sharing and storage, and data utilization, and promotes DX where corporate data is bought and sold as an asset. .
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■DataMart.jp, the award-winning technology that supports the AI learning data commerce “DataMart.jp”, has won three consecutive awards: AOS Group’s legal tech technology that won the Minister of Economy, Trade and Industry Award, and the ITreview Grid Award. The cloud backup technology of “AOSBOX” won the ITreview Customer Voice Leaders Award in November 2020, the data management technology that won the BCN AWARD System Maintenance Software Category Grand Prize for 15 consecutive years, and the group company Legal Tech, which won the Minister of Economy, Trade and Industry Award. It was developed as a solution to support AOS IDX, an intelligent DX solution based on a secure data exchange, sharing, and storage system that combines the VDR technologies of ■Recruitment of food data providers The food industry is also riding the wave of digital transformation, and data on food safety, market trends, consumer behavior, etc. is attracting attention. Particularly in the wake of the pandemic, supply chain optimization and consumer health awareness have increased, making relevant data increasingly important. In order to respond to this situation and create new value from food data, DataMart.jp is actively recruiting data providers who can provide high-quality food data. We hope that food data will contribute to the sustainable development of the food industry. [About AOS Data Co., Ltd.] Name: AOS Data Co., Ltd. Representative: Nobuya Yoshida Established: April 2015 Location: 4F, Metro City Kamiyacho Building, 5-1-5 Toranomon, Minato-ku, Tokyo Capital: 100 million Yen (Capital reserve: 1.525 billion yen) URL: https://www.aosdata.co.jp/AOS Data Co., Ltd. provides a wide range of services, from the introduction of software such as cloud backup AOSBOX to the disposal of computers and smartphones. We provide a variety of products tailored to the life cycle, and in August 2020, we took over the “Legal Data Business” from a group company. As a result, we offer the following lineup of “data management” products and services.・”Cloud backup” for preventing data troubles ・”Data restoration”, “data erasure” and “data migration” for data maintenance ・”Data recovery service” for dealing with data troubles ・”Data security” for protecting data from troubles ・Evidential data “Legal Data Service”, which conducts restoration investigations and evidence data creation.In addition, from April 2021, AOS Group’s AI / DX business division will be integrated with “Data Asset Management” solutions, and the utilization of data, which is the key to industrial DX, will be expanded. In particular, we will evolve into a data platform company that maximizes the use of data for AI.
This article has been partially generated with the assistance of AI.